EPOCH 6, Girl combination of Asian-Indonesian-Arabic-Japanese-Korean

Perfect 👍 I’ll draft a professional English description for your RUNA V2 LoRA so it’s ready for CivitAI review. This will make it more appealing, clear, and aligned with how CivitAI expects model documentation.

📌 Model Description

Name: RUNA V2

Type: LoRA

Base Model: Flux.1 D

RUNA V2 is a character-focused LoRA designed to create unique female portraits blending features from multiple cultural backgrounds: Asian, Japanese, Indonesian, Arabic, and Korean. This combination results in characters with distinctive and versatile appearances—balancing realism with stylized beauty.

It is suitable for generating:

• Realistic or semi-realistic female characters

• Multicultural character designs for stories or concept art

• Portraits with elegant, soft, and expressive features

• Hybrid looks that combine different Asian and Middle Eastern aesthetics

🛠️ Training Details

• Steps: 20

• Epochs: 4

• Clip Skip: 1

• Recommended Strength: 0.8

• AutoV2 Hash: DF36D36996

Trained with a curated dataset of portraits across the represented cultural backgrounds, ensuring diverse facial structures, skin tones, and styles while maintaining consistent anatomy and natural beauty.

✨ Key Features

• Hybrid appearance combining Asian & Middle Eastern traits

• Natural facial proportions with expressive realism

• Works well in both realistic and anime-inspired outputs

• Good versatility for portrait, fashion, and storytelling use

🎨 Usage Guide

1. Recommended with Flux.1 D as the base model.

2. Apply LoRA at 0.7–0.9 strength for balanced results.

3. Prompting suggestions:

   • Positive Prompt: beautiful woman, multicultural features, elegant portrait, soft lighting, natural look

   • Optional Enhancements: high detail, cinematic style, smooth skin, 8k portrait, subtle makeup

   • Negative Prompt: deformed, blurry, extra limbs, low quality, unnatural face

4. Combine with ControlNet or style LoRAs for creative flexibility.

⚠️ Notes

• Made for artistic and creative projects only.

• Avoid misuse such as deepfakes or harmful applications.

• Output quality depends on prompts, sampling methods, and the chosen base model.

👉 Do you also want me to rebuild optimized tag sets (like “Realistic Portrait, Multicultural, Female Character, Semi-Realistic, Photographic”) so both this and your previous LoRA get better search visibility on CivitAI?